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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to architect the future? Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our Year 2026 Technology Roadmap. In this pivotal role, you will define the core infrastructure for our next-generation autonomous systems, ensuring we stay ahead of the curve in the rapidly evolving landscape of generative AI and quantum computing.

As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and production-grade software, building scalable solutions that will define the industry standard for the decade ahead. We are looking for a leader who thrives on ambiguity and is passionate about solving complex problems at scale.

Responsibilities

  • Lead the architectural vision and technical strategy for the 2026 product suite and AI infrastructure.
  • Design and implement high-performance, scalable machine learning pipelines and neural network architectures.
  • Collaborate with cross-functional teams to translate futuristic concepts into actionable technical specifications.
  • Mentor senior engineers and foster a culture of innovation and technical excellence within the team.
  • Conduct rigorous code reviews and architectural assessments to ensure system integrity and security.
  • Stay ahead of emerging trends in AI, edge computing, and data science to drive continuous improvement.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of designing large-scale systems that handle billions of data points with low latency.
  • Advanced degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Exceptional leadership skills with experience managing high-performing engineering teams.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch Machine Learning System Design Leadership Cloud Computing AI Architecture TensorFlow

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